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Barcode Biosensors Based On Surface Plasmon Resonance, Sneha Ramesh

Graduate Research Theses & Dissertations

Affordable and easy to use biological assays are the current need of the day owing to the rising cost of health care within the US and worldwide. The goal of this thesis is to develop a sensitive label-free biosensing scheme exploiting surface plasmon resonance (SPR) that yields the sensor output in an easy-to-read optical bio-barcode format for high through put and multiplexed medical diagnostics. Through this research, we would like to investigate if SPR phenomena can be achieved by fabricating SP supporting metallic structures over a nanoporous dielectric layer whose optical constants are progressively varied across the substrate in a …

Tailoring Thermoresponsive Poly(N-Isopropylacrylamide) Toward Sensing Perfluoroalkyl Acids, Dustin Thomas Savage

Theses and Dissertations--Chemical and Materials Engineering

Widespread distribution of poly- and perfluoroalkyl substances (PFAS) in the environment combined with concerns for their potentially negative health effects has motivated regulators to establish strict standards for their surveillance. The United States Environmental Protection Agency issued a cumulative domestic threshold of 70 ppt for water supplies, and this bar is even lower in some local districts and other countries. Monitoring PFAS consequently requires sensitive analytical equipment to meet regulatory specifications, and liquid chromatography with tandem mass spectroscopy (LC/MS/MS) is the most common technique used to satisfy these requirements. Though extremely sensitive, the instrument is often burdened by pretreatment regimens, …

Development Of Novel Polymeric Materials For Their Application In Monitoring And Remediation Of Environmental Pollutants, Rishabh Shah

Theses and Dissertations--Chemical and Materials Engineering

Remediation of environmental pollutants from water is one of the major challenges in the 21st century. Utilizing novel polymeric materials to accomplish this challenge has garnered a lot of interest in recent times. Flexibility in synthesizing as well as functionalizing makes them attractive for their application in pollutant remediation. This work is based on development and characterization of novel crosslinked polymeric as well as linear polymeric materials from biphenyl-based monomers, biphenyl based crosslinker and a temperature responsive monomer (Nisopropylacrylamide (NIPAAm)) for their application in remediation of toxic pollutants such as polychlorinated biphenyls (PCBs), polyaromatic hydrocarbons (PAHs) and iron oxide nanoparticle …

Annual Report 2020-2021, Depaul University College Of Computing And Digital Media

CDM Annual Reports

LETTER FROM THE DEAN

As I write this letter during the beginning of the 2021–22 academic year, we have started to welcome the majority of our students to campus— many for the very first time, and some for the first time in a year and a half. It has been wonderful to be together, in-person, again. Four quarters of learning and working remotely was challenging, to be sure, but I have been consistently amazed by the resilience, innovation, and hard work of our students, faculty, and staff, even in the most difficult of circumstances. This annual report, covering the 2020–21 …

Model Invariant Visual Tracking Using Deep Learning Of Trajectories, Pravinkumar G. Kandhare

All ETDs from UAB

A target tracking is a well-known computer vision problem due to its wide range of applications in industrial and biomedical domains, such as traffic planning and management, surveillance, robotics, economics, human-computer interaction prediction, and electrode tracking for surgical planning. A significant amount of research has been done to tackle the problem. However, it is still challenging to design a robust tracking system that can provide solutions for many real-world tracking applications and prediction. Most of the proposed tracking solutions are complex due to many model parameters. The overarching goal of this dissertation is to develop predictors and trackers that would …

De Novo Generation Of Cardiomyocytes For Regenerative Medicine Treatment, Yawen Tang

All ETDs from UAB

Cardiovascular disease, till now, is still the leading cause of death in the United States. As a consequences of heart attack event, cardiomyocytes death is an irreversible process accompanied with scar formation and loss of heart function. As mammalian cardiomyocytes exit cell cycle shortly after birth, with no replacement of the necrotic cardiomyocytes, the damages caused by heart attack often progress into more severe symptoms such as heart failure. To replenish damaged cardiomyocytes (CMs), many therapies, such as differentiate the induced pluripotent stem cells (iPSCs) into cardiomyocytes and direct reprogram fibroblasts into CMs, have been developed. During this dissertation study, …

Dynamic Biomechanical Characteristics Of The Optic Nerve Head By Oct Imaging, Jihee Kim

All ETDs from UAB

Approximately 80 million people in the world were estimated to suffer from glaucoma in 2020. To date, lowering intraocular pressure (IOP) is the only clinical treatment to delay or prevent the development and progression of glaucomatous vision loss. However, many glaucoma patients have IOP in the normal range, while some people with abnormally high pressure do not develop neuropathy. This indicates that biomechanical responses of the optic nerve head (ONH) to changes in IOP can vary significantly among individuals. This study investigated acute IOP-induced compliance in the ONH via SDOCT imaging, using computer vision, and deep learning networks to improve …

Studies On The Influence Of Non-Equilibrium Plasma Irradiation On Polyester Scaffolds: Characterization And Evolution Of New Surface Properties Toward Potential Biomedical Applications, Bernabe Samuel Tucker

All ETDs from UAB

A great need exists for innovative, functional materials. Specifically, functional materials must meet the necessary mechanical and interfacial properties for successful bio-integration for end goals such as medical implants. A gap in the knowledge existed before this work. This work addressed that gap through an experimental approach that employed low-temperature plasma (LTP) processing of fibrous, polyester constructs to produce functional materials. First, atmospheric-pressure plasma processing of electrospun polyester fibers, in a tubular geometry, was reported. Characterization of that system was conducted. Next, the effects of magnetized plasmas were reported. That report was a novel application of magnetized plasma and showed …

Choking Under Pressure Detection Model Based On Expert System Foundation Using Tennis Performance Variables For Individual Performance Enhancement, Stepan Vancurik

All ETDs from UAB

Choking under pressure is a phenomenon understood as underperformance or suboptimal performance in a particular task or an action that occurs due to the presence of pressure situations. The phenomenon is feared by many people, especially athletes. Choking has been heavily addressed and studied in psychology and behavioral science research. Research works addressing the phenomenon have also been occasionally published in scientific literature; however, a structural approach to objectively measure, analyze, identify, and define its determinants is absent. Therefore, this dissertation study attempts to add to the existing choking research by proposing a novel approach for choking identification, analyzing domain …

Aerodynamic Analysis Of Utility Truck Safety In Severe Environments, Haibo Zhu

All ETDs from UAB

In the present study, the stability of utility trucks under strong wind conditions is analyzed. Since the lateral area of trucks is larger than that of ordinary vehicles, the impact of crosswind on trucks is the most serious. Therefore, the main consideration was to simulate the impact of crosswind conditions on the truck. The research direction of crosswinds affecting the performance of utility trucks can be divided into two major aspects: one is to consider crosswind aerodynamics, and the other is to test crosswind stability. In order to study the crosswind aerodynamics of the truck, the influence of the change …

Accurate Measurement Of Healthy Joint Kinematics To Inform Diagnosis And Treatment, Vasiliki Kefala

Electronic Theses and Dissertations

The description of human motion has a primary importance in different scientific areas such as medicine, sports, physical therapy. Kinematics specifically studies pure motion without reference to the causes of motion such as forces. Understanding the kinematics of human movement is of critical importance in medicine and biology. Motion measure­ment can be used in order to to evaluate functional performance of limbs under normal and abnormal conditions. Kinematic knowledge is also important for diagnosis and surgi­cal treatment of joint disease and the design of implants to rehabilitate function. Accurate joint kinematics is essential to protect articular functionality. An alteration may …

The Cellular Role Of Tyrosyl-Dna Phosphodiesterase 1 N-Terminal Domain In Topoisomerase 2-Dna Covalent Complex Repair In Yeast, Isaac Andres Segura

All ETDs from UAB

Tyrosyl-DNA phosphodiesterase 1 (Tdp1) removes adducts from DNA-ends, including damaged nucleotides and protein-DNA crosslinks such as DNA topoisomerases (Topo1 and Topo2) and Tdp1 itself. The N-terminal domain (NTD) of Tdp1 has been understudied, structurally unresolved, and seemingly dispensable for in vitro catalytic activity. However, our lab made the novel observation that the NTD is critical for Tdp1 cellular activity in removing Topo1-DNA covalent complexes (Topo1cc). Removal of the first 80 residues (yeast Tdp1 NTD) results in the loss of the toxic phenotype induced by full-length Tdp1 catalytic mutants. This suggests that in cells the NTD has a critical function in …

Exploring Quality Management Strategies To Mitigate Culture Shock Among Cochlear Implant Users, Victor Mulume' Ambila

Walden Dissertations and Doctoral Studies

AbstractAfter the cochlear implant (CI) activation period and therapy, adult CI users who travel overseas encounter culture shock factors that paralyze their coping capability, which need normalization through management strategies during the post-cochlear-implantation process (PCIP). In the structure of the conceptual framework, a plan is presented for addressing the management strategy. An integrated system of product-process-service-care portrays the product as an active implant within an individual bearer fostering a CI user’s physical, physiological, and psychological traits. The problematic aspects alter the end users’ coping capability in an unfamiliar host environment abroad. The qualitative research approach used was a single case …

From Bench To Worktop: Rapid Evaluation Of Nutritional Parameters In Liquid Foodstuffs By Ir Spectroscopy, David Perezguaita

Articles

We evaluated the use of attenuated total reflectance infrared spectroscopy for simultaneous in situ quantification of the nutritional composition of liquid food stuffs in the industrial kitchen context. Different methodologies were compared, including dry and wet acquisition along with instrument parameters and measurement times of 4 and 60 s. The most effective technique was 1-minute measurement, with prediction errors of 2.6, 0.7, 1.0, 2.2, 0.8, 2.4 g/100 mL and 150 Kcal, for carbohydrates, proteins, fat, sugars, saturated fat, water and energy values, respectively.The 4-second method resulted in larger errors but was more applicable for inline measurements. Dry measurements successfully predicted …

Small Unmanned Aircraft Systems Acoustic Analysis For Noninvasive Marine Mammal Response: An Exploratory Field Study, David Thirtyacre, Gennifer Brookshire, Sarah Callan, Brittany Arvizu, Patrick Sherman

International Journal of Aviation, Aeronautics, and Aerospace

As in countless other fields of human endeavor, small unmanned aircraft systems (sUAS) have the potential to benefit pinniped (Pinnipedia; e.g., Phocidae [seals], Otariidae [sea lions], and Odobenidae [walruses]) response efforts. The employment of sUAS could give responders a close-up look at animals in distress in order to determine their condition as well as develop a response strategy. However, unlike other subjects that are regularly inspected by sUAS (e.g., croplands and civil infrastructure) pinnipeds may respond to the distinctive sound generated by small, multirotor sUAS. This reaction may include retreating into the water en masse, which could put …

Albatross And Falcon Inspired Bionic Uav: An Aerodynamic Analysis, Bilji C. Mathew, Sagar K. Sahu, Prantik Dutta, Rushi Savale, Muruga Lal Jeyan Jv Dr.

International Journal of Aviation, Aeronautics, and Aerospace

The drone industry yearns for enhanced aerodynamic performance. In order to achieve this feat, researchers and engineers are trying to mimic the natural flyers due to their aerodynamic optimality. One such flyer, the Albatross is an inspiration for many marine drones due to its planform and aerodynamic efficiency. The wing of the plan form is designed and simulated to study its properties. The Bell-Shaped Lift Distribution is incorporated for higher efficiency and elimination of the total downwash produced in case of an Elliptical Lift Distribution. A blended wing body inspired by the Falcon is used for smoother airflow interactions. Furthermore, …

Aerodynamic Characterization Of Bio-Mimicked Pleated Dragonfly Aerofoil, Md Akhtar Khan, Chinmaya Padhy

International Journal of Aviation, Aeronautics, and Aerospace

The work inspired by the dragonfly wing corrugation positioned at the front wing's radius section lying at 40% of the total wingspan of forewing from the root section. During gliding flight, dragonfly wings presumed to be an ultra-light aerofoil due to its well-defined cross-sectional corrugation. The aerodynamic simulation carried out to understand the aerodynamic performance of a bio-mimetic dragonfly corrugated airfoil at low Reynolds number range of 75000-150000 to explore the potential advantages of pleated airfoils at a varying angle of attack from 0° to 12°. CFD analysis accomplished by using ANSYS Fluent to understand the aerodynamic performance of the …

An Enumeration Of Nested Networks, Nathan Cornelius

Williams Honors College, Honors Research Projects

Nested networks have several applications in phylogenetics and electrical circuit theory. In many cases, there may exist more than one distinct network which correctly models a given data set. This proposes a combinatorial problem to determine all possible network solutions. In this paper, we partially solve this problem by developing exponential generating functions which enumerate all 1-nested and 2-nested unicyclic networks. We also describe our procedure to directly count all 1-nested and 2-nested networks and provide all 1-nested networks with 7, 8, and 9 terminal nodes.

Arab American Women In Engineering: How Did Their Culture Influence Their Achievement?, Iktimal Bia Hamed

Master's Theses and Doctoral Dissertations

This body of research examined the Arab American culture and its impact on women who studied the male-dominated major of engineering. Through a qualitative approach, women born and raised in an Arab American home unpacked their experiences since childhood that made them who they are today. The 10 female Arab American participants shared how they made it through and successfully completed their major in engineering. This study focused on engineering, since there has been little to no growth in women who major in this male-dominated subject. This research examined how the participants’ parents, extended family, friends, community, and both K-12 …

Using Deep Learning-Based Framework For Child Speech Emotion Recognition, Gerald N. Onwujekwe

Theses and Dissertations

Biological languages of the body through which human emotion can be detected abound including heart rate, facial expressions, movement of the eyelids and dilation of the eyes, body postures, skin conductance, and even the speech we make. Speech emotion recognition research started some three decades ago, and the popular Interspeech Emotion Challenge has helped to propagate this research area. However, most speech recognition research is focused on adults and there is very little research on child speech. This dissertation is a description of the development and evaluation of a child speech emotion recognition framework. The higher-level components of the framework …

Rheological Analysis Of The Mechanical Properties Of Murine Lungs Over The Lifespan, Olajumoke Olufunke Harrison

Theses and Dissertations

To study the effects of aging in murine lungs, we characterized C57Bl6j mice from neonatal to 24-month-old mice. Samples were divided into two groups: Young Mice (YM) and Middle Age/Old Age Mice (MOM). The YM group included the neonatal and 6-10week. The MOM group included 7- and 22–24-month-old mice. Rheological testing was performed using a TA Instruments DHR-2 Rheometer to collect the mechanics of each mice sample. Utilizing a 20-mm parallel plate fixture, a gap of 0.8-1.0-mm, and a temperature setting of 25C, we conducted a frequency sweep. Samples were the decellularized over a four-day process then lyophilized for mass …

Continuous Manufacturing Of Pharmaceuticals Using Novel Platforms, Sarah S. Aboelela

Theses and Dissertations

Pharmaceuticals have been synonymously manufactured in a centralized, batch mode with less attention to process and formulation understanding. However, due to rising drug costs, shortages, and robustness issues, in addition to the alarming lack of flexibility and agility, regulatory agencies have pushed towards switching to continuous processes. They believed in continuous manufacturing, providing cleaner, flexible, and more efficient processes. Hence, it was foreseen to reduce development and manufacturing costs, time, and environmental impact and ensured drug product quality. Over the last two decades, continuous manufacturing quality, environmental, and economic advantages have been evident through many case studies and approved products …

Therapeutic Modalities For Preventing Osteoarthritis Following Trauma To The Knee, Kayla M. Scott

Theses and Dissertations

Over 32.5 million adults in the United States and 300 million worldwide have osteoarthritis (OA). To date, there are no disease-modifying therapeutics, only strategies to slow OA progression through pain management, regenerative medicine approaches, and ultimately joint replacement.

On a microscale, a phenotypic shift of the normally quiescent articular chondrocytes leads to aberrant expression of pro-inflammatory and catabolic pathways, which are hypothesized to contribute to OA progression. Of note, interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and WNT/β-catenin signaling are key players disrupting cartilage homeostasis and driving inflammatory pathway activation. These pathways become dysregulated and form a positive feedback loop, increasing …

Deep Learning Assisted Intelligent Visual And Vehicle Tracking Systems, Liang Xu

Theses and Dissertations

Sensor fusion and tracking is the ability to bring together measurements from multiple sensors of the current and past time to estimate the current state of a system. The resulting state estimate is more accurate compared with the direct sensor measurement because it balances between the state prediction based on the assumed motion model and the noisy sensor measurement. Systems can then use the information provided by the sensor fusion and tracking process to support more-intelligent actions and achieve autonomy in a system like an autonomous vehicle. In the past, widely used sensor data are structured, which can be directly …

Determination Of Pneumonia In X-Ray Chest Images By Using Convolutionalneural Network, Özlem Polat, Zümray Ölmez, Tamer Ölmez

Turkish Journal of Electrical Engineering and Computer Sciences

Pneumonia is one of the major diseases that cause a lot of deaths all over the world. Determining pneumonia from chest X-ray (CXR) images is an extremely difficult and important image processing problem. The discrimination of whether pneumonia is of bacterium or virus origin has also become more important during the pandemic. Automatic determination of the presence and origin of pneumonia is crucial for speeding up the treatment process and increasing the patient's survival rate. In this study, a convolutional neural network (CNN) framework is proposed for detection of pneumonia from CXR images. Two different binary CNNs and a triple …

Control Synthesis For Parametric Timed Automata Under Reachability, Ebru Aydin Göl

Turkish Journal of Electrical Engineering and Computer Sciences

Timed automata is a fundamental modeling formalism for real-time systems. During the design of such real-time systems, often the system information is incomplete, and design choices can vary. These uncertainties can be integrated to the model via parameters and labelled transitions. Then, the design can be completed by tuning the parameters and restricting the transitions via controller synthesis. These problems, namely parameter synthesis and controller synthesis, are studied separately in the literature. Herein, these are combined to generate an automaton satisfying the given specification by both parameter tuning and controller synthesis, thus exploring all design choices. First, it is shown …

Information Retrieval-Based Bug Localization Approach With Adaptive Attributeweighting, Mustafa Erşahi̇n, Semi̇h Utku, Deni̇z Kilinç, Buket Erşahi̇n

Turkish Journal of Electrical Engineering and Computer Sciences

Software quality assurance is one of the crucial factors for the success of software projects. Bug fixing has an essential role in software quality assurance, and bug localization (BL) is the first step of this process. BL is difficult and time-consuming since the developers should understand the flow, coding structure, and the logic of the program. Information retrieval-based bug localization (IRBL) uses the information of bug reports and source code to locate the section of code in which the bug occurs. It is difficult to apply other tools because of the diversity of software development languages, design patterns, and development …

Adaptation Of Metaheuristic Algorithms To Improve Training Performance Of Aneszsl Model, Şi̇fa Özsari, Mehmet Serdar Güzel, Gazi̇ Erkan Bostanci, Ayhan Aydin

Turkish Journal of Electrical Engineering and Computer Sciences

Zero-shot learning (ZSL) is a recent promising learning approach that is similar to human vision systems. ZSL essentially allows machines to categorize objects without requiring labeled training data. In principle, ZSL proposes a novel recognition model by specifying merely the attributes of the category. Recently, several sophisticated approaches have been introduced to address the challenges regarding this problem. Embarrassingly simple approach to zeroshot learning (ESZSL) is one of the critical of those approaches that basically proposes a simple but efficient linear code solution. However, the performance of the ESZSL model mainly depends on parameter selection. Metaheuristic algorithms are considered as …

A New Approach: Semisupervised Ordinal Classification, Ferda Ünal, Derya Bi̇rant, Özlem Şeker

Turkish Journal of Electrical Engineering and Computer Sciences

Semisupervised learning is a type of machine learning technique that constructs a classifier by learning from a small collection of labeled samples and a large collection of unlabeled ones. Although some progress has been made in this research area, the existing semisupervised methods provide a nominal classification task. However, semisupervised learning for ordinal classification is yet to be explored. To bridge the gap, this study combines two concepts ?semisupervised learning? and "ordinal classification" for the categorical class labels for the first time and introduces a new concept of "semisupervised ordinal classification". This paper proposes a new algorithm for semisupervised learning …

Developing An Institutional Arrangement For A Whole-Of-Government And Whole-Of-Community Approach To Regional Adaptation To Sea Level Rise: The Hampton Roads Pilot Project, Juita-Elena (Wie) Yusuf, J. Gail Nicula, Burton St. John Iii, Meagan M. Jordan, Michelle Covi, Carol Considine, Marina Saitgalina, Joshua Behr

School of Public Service Faculty Publications

Adaptation to sea level rise (SLR) requires coordination among local, state, and federal entities and collaboration across governments, nonprofits, businesses, and residents. This coordination and collaboration are reflected in institutional arrangements associated with a whole-of-government and whole-of-community approach to regional adaptation. This study analyzes the development of an interlocal agreement (ILA), the Hampton Roads Sea Level Rise Preparedness and Resilience Intergovernmental Planning Pilot Project (the Pilot Project), as an example of such an arrangement. This study assesses how factors throughout three phases of ILA development (initiation, implementation, and execution) influence outcomes and effectiveness. Drawing upon participant observation, document analysis, survey …